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End-to-end learning

End-to-End Learning of Polygons for Remote Sensing Image Classification

End-to-End Learning of Polygons for Remote Sensing Image Classification

... networks to output geo- metric objects, such as the convex hull of a point cloud [5] or the coordinates of object bounding boxes ...an end-to-end fashion. We restricted this study to ...

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End-to-end physics-informed representation learning from and for satellite ocean remote sensing data

End-to-end physics-informed representation learning from and for satellite ocean remote sensing data

... dynamics, end-to-end learning, inverse problems, data assim- ilation, space-time interpolation, short-term forecasting, adaptive ...deep learning schemes for satellite ocean remote ...

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Curriculum-based transfer learning for an effective end-to-end spoken language understanding and domain portability

Curriculum-based transfer learning for an effective end-to-end spoken language understanding and domain portability

... dedicated to ME- DIA (ASR • SF M ), that is better than starting directly from the ASR model or from ...the end, to reach the best result we can, the approach consists in applying the same ...

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Learning with monotonicity requirements for optimal routing with end-to-end quality of service constraints

Learning with monotonicity requirements for optimal routing with end-to-end quality of service constraints

... the end-to-end delay for every demand associated with the service class ...need to use an augmented lagrangian scheme in order to deal with the non-convexity of QoS ...propose to ...

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End-to-End Kernel Learning with Supervised Convolutional Kernel Networks

End-to-End Kernel Learning with Supervised Convolutional Kernel Networks

... close to approaches that were developed several decades ago (see, [13]), they greatly benefit from the large amounts of labeled data that have been made available recently, allowing to learn huge numbers of ...

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3D Object-Oriented Learning: An End-to-end Transformation-Disentangled 3D Representation

3D Object-Oriented Learning: An End-to-end Transformation-Disentangled 3D Representation

... model to 3D, by disentangling 3D ...respect to 3D translations and rotations of ...inputs to the first layer are objects with explicitely given poses ...

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Towards End-to-End spoken intent recognition in smart home

Towards End-to-End spoken intent recognition in smart home

... +tts+VocADom@A4H_1k+dec+LM). The maximal E2E SLU performance was reached using an attention-CTC multi-task learning weight of 0.5. For a fair comparison we also retrained the pipeline SLU ASR and NLU modules using ...

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Decentralized Prediction of End-to-End Network Performance Classes

Decentralized Prediction of End-to-End Network Performance Classes

... is to our knowledge the only related work that used an advanced machine learning tech- nique, namely max-margin matrix factorization (MMMF) ...thanks to the incor- poration of active sampling, MMMF ...

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End-to-end multi-view networks for text classification

End-to-end multi-view networks for text classification

... us to project the 300 dimen- sional word vectors, which we implemented using a linear transformation, whose weight matrix and bias term are shared across all words, followed by a tanh ...starting learning ...

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End-to-End Automatic Speech Translation of Audiobooks

End-to-End Automatic Speech Translation of Audiobooks

... investigate end-to-end speech-to-text translation on a cor- pus of audiobooks specifically augmented for this ...during learning nor de- coding, but we also study a midway case where ...

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Confidence measure for speech-to-concept end-to-end spoken language understanding

Confidence measure for speech-to-concept end-to-end spoken language understanding

... system to learn an alignment between an audio input and a character sequence to ...sequence to be produced by the neural ...Our end-to-end SLU system is trained following the ...

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End-to-end person search sequentially trained on aggregated dataset

End-to-end person search sequentially trained on aggregated dataset

... Index Terms— Re-identification, person detection, per- son search, multi-task learning, cross-dataset. 1. INTRODUCTION Person re-identification (re-ID) [1, 2, 3] is an essential task in video surveillance that has ...

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End-to-End Adaptive Framework for Multimedia Information Retrieval

End-to-End Adaptive Framework for Multimedia Information Retrieval

... an end-to-end adaptive framework that meets the needs of massively distributed multimedia information produced by different services along a conference life ...This end-to-end ...

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Recent Advances in End-to-End Spoken Language Understanding

Recent Advances in End-to-End Spoken Language Understanding

... 16kHz to 8kHz, since the test set for our main target task (SF) consists of telephone con- ...transfer learning from ASR built in a different source language (English in our case) to SF in the target ...

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End-to-end named entity and semantic concept extraction from speech

End-to-end named entity and semantic concept extraction from speech

... text to be processed [1]. Rule-based NER systems are usually built to process written language and are not robust to ASR ...Machine learning based systems do not have good perfor- mance when ...

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An end-to-end spike-based image compression architecture

An end-to-end spike-based image compression architecture

... stimulus to the visual cortex, such as object detection and identification, distance assessment to and between objects, motion perception, and color vision, just to name a ...deep learning ...

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End-to-End 6DoF Pose Estimation From Monocular RGB Images

End-to-End 6DoF Pose Estimation From Monocular RGB Images

... set to 1.0, 1.0, 0.1 to scale the loss accordingly. To decrease the translational outlier penalty and stabilise the network training, the hyperparameter δ in ...set to 2.8 metres as the loose ...

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Response Selection for End-to-End Retrieval-Based Dialogue Systems

Response Selection for End-to-End Retrieval-Based Dialogue Systems

... deep learning-based systems achieved remarkable performances in several tasks and multiple domains, they receive a lot of criticism due to the difficulty of their inter- pretability and the large amounts of ...

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Using Network Calculus to compute end-to-end delays in SpaceWire networks

Using Network Calculus to compute end-to-end delays in SpaceWire networks

... element To use Network Calculus theory, we first need to determine a service curve for each element traversed by a ...an End-To-End (ETE) service curve using Theorem ...inferior ...

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CoMe4ACloud: An End-to-End Framework for Autonomic Cloud Systems

CoMe4ACloud: An End-to-End Framework for Autonomic Cloud Systems

... offered to clients by means of Virtual Machines (VM) ...order to operate, they can be linked to different power providers, if necessary ...associated to each instant t ∈ T ) is described and ...

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